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Sales and Marketing Systems Manager

Job in Auburn Hills, Oakland County, Michigan, 48326, USA
Listing for: Stellantis
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Science Manager, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
The Sales and Marketing Systems Manager is a strategic, role responsible for driving business-critical outcomes across core Sales platforms. This role operates at an enterprise level, ensuring alignment between business strategy and technology execution while delivering scalable, reliable, and high-quality solutions.

The position serves as a key bridge between business and ICT and plays a critical role in influencing roadmap priorities, investment sequencing, and delivery outcomes.

In addition to delivery leadership, the role requires strong curiosity and hands-on engagement with Artificial Intelligence (AI)-including copilots and agent-based solutions-to identify and scale opportunities that enhance sales performance, decision-making, and operational efficiency.

Key Responsibilities:

Sales Systems Leadership & Delivery
  • Own end-to-end accountability for SMKG Sales Systems delivery.
  • Guide teams in requirements development, ensuring business needs are translated into structured epics, user stories, and backlogs.
  • Ensure alignment with enterprise standards, architecture, and quality expectations.
  • Drive full lifecycle delivery-from MVP through scale, including testing, validation, and continuous improvement.
  • Serve as the primary interface between business leadership, external partners, and ICT delivery teams.
AI Exploration, Experimentation & Value Creation
  • Demonstrate active curiosity and continuous learning in AI technologies, including large language models, copilots, and AI agents.
  • Engage in hands-on experimentation ("tinkering") with AI tools, prompts, and agent workflows to explore practical use cases.
  • Identify, prioritize, and prototype AI-driven opportunities across the sales lifecycle.
  • Translate experimentation into scalable, production-ready capabilities that deliver measurable business value.
  • Ensure alignment of AI solutions with enterprise data strategy, governance, and cybersecurity requirements.
Program Leadership & Team Development
  • Provide guidance and mentorship to team members in Project and Program Management disciplines.
  • Leverage experience to develop team capability, improve delivery maturity, and support individual career growth.
  • Act as a trusted advisor to peers and emerging leaders, helping teams navigate complexity and improve outcomes.
  • Establish governance and reporting practices that improve predictability and leadership visibility.
  • Communicate program status, risks, and decisions clearly to executive stakeholders.
Required Qualifications:
  • Bachelor's in Computer Science, Information Systems, or related field.
  • Minimum 7 experience leading enterprise-scale technology programs and system integrations.
  • Proven ability to manage complex, multi-stakeholder initiatives across business and ICT domains.
  • Demonstrated experience in requirements management, backlog prioritization, and full delivery lifecycle ownership.
  • Strong understanding of integration patterns, APIs, data flows, and enterprise architecture principles.
  • Experience with delivery governance, risk management, and operational readiness.
  • Ability to influence senior stakeholders and drive alignment without direct authority.
  • Demonstrated interest in AI technologies, with a proactive, hands-on approach to learning and experimentation.
  • Strong communication skills with the ability to present clearly at executive levels.
Preferred Qualifications:
  • Experience supporting Sales systems, dealer platforms, or order management environments.
  • Experience identifying and implementing AI-enabled use cases that drive measurable business value.
  • Track record of mentoring team members and improving program management capability.
  • Experience operating within a matrixed enterprise environment.
  • Familiarity with data-driven decision-making, analytics, or reporting platforms supporting Sales organizations.
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